Asymptotic power of likelihood-ratio tests for detecting quantitative trait loci using the COGA data

Jeff T. Williams, John Blangero

Research output: Contribution to journalArticle

13 Citations (Scopus)

Abstract

We investigated the asymptotic power of the likelihood-ratio test for detecting linkage to a quantitative trait locus (QTL) using the data set from the Collaborative Study on the Genetics of Alcoholism (COGA). Assuming a total trait heritability of 50% as determined for the COGA Cz P300 phenotype, we determined the minimum QTL heritability required at each point in the genome to achieve 80% power to detect linkage with a lod of 3.0. We find that there are regions of the genome where it is not possible to detect a QTL of any effect with 80% power, and that the overall minimum detectable QTL heritability for the COGA data is 0.35-0.40.

Original languageEnglish (US)
JournalGenetic Epidemiology
Volume17
Issue numberSUPPL. 1
StatePublished - 1999
Externally publishedYes

Fingerprint

Quantitative Trait Loci
Alcoholism
Genome
Phenotype
Power (Psychology)

Keywords

  • Linkage analysis
  • Noncentral chi-squared
  • Statistical genetics
  • Variance component

ASJC Scopus subject areas

  • Genetics(clinical)
  • Epidemiology

Cite this

Asymptotic power of likelihood-ratio tests for detecting quantitative trait loci using the COGA data. / Williams, Jeff T.; Blangero, John.

In: Genetic Epidemiology, Vol. 17, No. SUPPL. 1, 1999.

Research output: Contribution to journalArticle

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